SQL Geniusは、平易な英語をSQLクエリに変換し、複雑なSQLコードを簡単な言葉で説明することで、データベースとの対話を簡素化するAI搭載ツールです。開発者、データアナリスト、学生が生産性を向上させ、SQLの学習曲線を短縮するために設計されています。
製品概要
SQL Genius 製品概要
SQL Geniusは、平易な英語をSQLクエリに変換し、複雑なSQLコードを簡単な言葉で説明することで、データベースとの対話を簡素化するAI搭載ツールです。開発者、データアナリスト、学生が生産性を向上させ、SQLの学習曲線を短縮するために設計されています。
StataGPT 製品概要
StataGPT (Estima) は、経済学者、研究者、学生向けに設計されたAI搭載アシスタントです。STATAコードの生成、デバッグ、説明に特化し、データ分析の効率化、研究結果の再現、因果推論のスケールアップを実現し、汎用AIモデルが苦手とする分野を補完します。
Detailed feature comparison
| Feature | SQL Genius | StataGPT |
|---|---|---|
| 主要カテゴリー | 分析 | 学習 |
| 追加日 | 2025-08-10 | 2025-09-14 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | sqlgenius.app | statagpt.com |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 3.5K | 512 |
| 月間成長率 | 未確認 | -8.4% |
| お気に入り | 82 | 72 |
| Details | 詳細を見る | 詳細を見る |
SQL Genius vs StataGPT monthly traffic
Compare SQL Genius and StataGPT by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the SQL Genius vs StataGPT monthly traffic comparison, SQL Genius currently shows 3.5K visits and StataGPT shows 512; SQL Genius has about 6.8 times the visible traffic of StataGPT, an absolute difference of about 3K visits. This reflects visible reach, not feature quality or paid users.
Only StataGPT has complete third-party traffic details; SQL Genius uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
SQL Genius monthly traffic:
Latest traffic
StataGPT monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1.5K 月間訪問数
- 2026/1: 1.3K 月間訪問数
- 2026/2: 1.3K 月間訪問数
- 2026/3: 1.2K 月間訪問数
- 2026/4: 559 月間訪問数
- 2026/5: 512 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇧🇷Brazil | 59.61% | 305 |
| 🇲🇽Mexico | 24.55% | 126 |
| 🇩🇪Germany | 8.22% | 42 |
| 🇮🇳India | 7.62% | 39 |
検索キーワード
Usage comparison
Compare the core capabilities of SQL Genius and StataGPT
SQL Genius Core features
StataGPT Core features
Use cases
SQL Genius Use cases
StataGPT Use cases
Best suited roles
SQL Genius Best suited roles
StataGPT Best suited roles
SQL Genius vs StataGPT:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth SQL Genius vs StataGPT comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. SQL Genius is primarily listed under “分析”, while StataGPT is primarily listed under “学習”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (SQL Genius: 分析; StataGPT: 学習); Monthly visits (SQL Genius: 3.5K; StataGPT: 512); Favorites (SQL Genius: 82; StataGPT: 72); Website (SQL Genius: sqlgenius.app; StataGPT: statagpt.com); Added (SQL Genius: 2025-08-10; StataGPT: 2025-09-14). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the SQL Genius vs StataGPT monthly traffic comparison, SQL Genius currently shows 3.5K visits and StataGPT shows 512; SQL Genius has about 6.8 times the visible traffic of StataGPT, an absolute difference of about 3K visits. This reflects visible reach, not feature quality or paid users.
Only StataGPT has complete third-party traffic details; SQL Genius uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
SQL Genius and StataGPT currently overlap in shared categories: 学習、コードアシスタント; shared tags: データ分析. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
SQL Genius's unique categories/tags are 分析、データベース、コードアシスタント、開発者ツール、ノーコード、PostgreSQL、クエリジェネレーター、SQL解説; StataGPT's are 学術、AIコードアシスタント、因果推論、コード生成、データサイエンス、計量経済学、研究、STATA. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
SQL Genius has no verified rating, 0 comments, 82 favorites, and 86 likes;StataGPT has no verified rating, 0 comments, 72 favorites, and 96 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate SQL Genius first
Put SQL Genius on the priority trial list when the task aligns with “分析” and especially 分析、データベース、コードアシスタント、開発者ツール、ノーコード、PostgreSQL. This follows recorded positioning and does not imply unlisted capabilities are absent.
SQL Genius also currently records: pricing is freemium, product type is website, 3.5K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate StataGPT first
Put StataGPT on the priority trial list when the task aligns with “学習” and especially 学術、AIコードアシスタント、因果推論、コード生成、データサイエンス、計量経済学, or the users include データアナリスト、エコノミスト、政策アナリスト、研究者. This follows recorded positioning and does not imply unlisted capabilities are absent.
StataGPT also currently records: pricing is freemium, product type is website, 512 verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in SQL Genius and StataGPT, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




